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    System and method for predicting successful defibrillation for ventricular fibrillation cardiac arrest
    1.
    发明授权
    System and method for predicting successful defibrillation for ventricular fibrillation cardiac arrest 有权
    用于预测心室颤动心脏骤停的成功除颤的系统和方法

    公开(公告)号：US08380305B2

    公开(公告)日：2013-02-19

    申请号：US12829286

    申请日：2010-07-01

    申请人： Men-Tzung Lo ,  Lian-Yu Lin ,  Patrick Chow-In Ko ,  Chen Lin ,  Matthew Huei-Ming Ma

    发明人： Men-Tzung Lo ,  Lian-Yu Lin ,  Patrick Chow-In Ko ,  Chen Lin ,  Matthew Huei-Ming Ma

    IPC分类号： A61N1/362

    CPC分类号： A61N1/3925 ,  A61H31/005 ,  A61H2230/04 ,  A61N1/3702

    摘要： A computer-assisted method for quantitative characterization and treatment of ventricular fibrillation includes acquiring a time series of a ventricular fibrillation (VF) signal using a probe from a patient experiencing VF, subtracting the mean from the time series of the VF signal, calculating a cumulative VF signal after the mean is subtracted from the time series of the VF signal, segmenting the cumulative VF signal by a plurality of sampling boxes, calculating the root-mean-square of the cumulative VF signal as a function of the sampling box size , extracting an exponent of the root-mean-square of the cumulative VF signal as a function of the sampling box size, applying electrical defibrillation to the patient if the exponent is below a predetermined value, and applying cardiopulmonary resuscitation (CPR) to the patient if the exponent is above a predetermined value.

    摘要翻译： 用于定量表征和治疗心室颤动的计算机辅助方法包括使用来自经历VF的患者的探针获取心室颤动（VF）信号的时间序列，从VF信号的时间序列中减去平均值，计算累积 从VF信号的时间序列中减去平均值之后的VF信号，通过多个采样盒分割累积VF信号，计算作为采样箱大小的函数的累积VF信号的均方根，提取 累积VF信号的均方根的指数作为采样箱尺寸的函数，如果指数低于预定值，则向患者施加电除颤，并且如果所述指数低于预定值则应用心肺复苏（CPR） 指数高于预定值。

    SYSTEM AND METHOD FOR PREDICTING SUCCESSFUL DEFIBRILLATION FOR VENTRICULAR FIBRILLATION CARDIAC ARREST
    2.
    发明申请
    SYSTEM AND METHOD FOR PREDICTING SUCCESSFUL DEFIBRILLATION FOR VENTRICULAR FIBRILLATION CARDIAC ARREST 有权
    用于预测心脏纤维化心脏衰竭的成功定位的系统和方法

    公开(公告)号：US20120004693A1

    公开(公告)日：2012-01-05

    申请号：US12829286

    申请日：2010-07-01

    申请人： Men-Tzung Lo ,  Lian-Yu Lin ,  Patrick Chow-In Ko ,  Chen Lin ,  Matthew Huei-Ming Ma

    发明人： Men-Tzung Lo ,  Lian-Yu Lin ,  Patrick Chow-In Ko ,  Chen Lin ,  Matthew Huei-Ming Ma

    IPC分类号： A61N1/39

    CPC分类号： A61N1/3925 ,  A61H31/005 ,  A61H2230/04 ,  A61N1/3702

    摘要： A computer-assisted method for quantitative characterization and treatment of ventricular fibrillation includes acquiring a time series of a ventricular fibrillation (VF) signal using a probe from a patient experiencing VF, subtracting the mean from the time series of the VF signal, calculating a cumulative VF signal after the mean is subtracted from the time series of the VF signal, segmenting the cumulative VF signal by a plurality of sampling boxes, calculating the root-mean-square of the cumulative VF signal as a function of the sampling box size , extracting an exponent of the root-mean-square of the cumulative VF signal as a function of the sampling box size, applying electrical defibrillation to the patient if the exponent is below a predetermined value, and applying cardiopulmonary resuscitation (CPR) to the patient if the exponent is above a predetermined value.

    摘要翻译： 用于定量表征和治疗心室颤动的计算机辅助方法包括使用来自经历VF的患者的探针获取心室颤动（VF）信号的时间序列，从VF信号的时间序列中减去平均值，计算累积 从VF信号的时间序列中减去平均值之后的VF信号，通过多个采样盒分割累积VF信号，计算作为采样箱大小的函数的累积VF信号的均方根，提取 累积VF信号的均方根的指数作为采样箱尺寸的函数，如果指数低于预定值，则向患者施加电除颤，并且如果所述指数低于预定值则应用心肺复苏（CPR） 指数高于预定值。

    ACCURATELY INDETIFYING CRITCAL REGIONS IN ATRIAL FIBRILLATION BY IDENTIFYING ROTORS IN DIRECTIONAL SIMILARITY VECTOR FIELD
    5.
    发明申请
    ACCURATELY INDETIFYING CRITCAL REGIONS IN ATRIAL FIBRILLATION BY IDENTIFYING ROTORS IN DIRECTIONAL SIMILARITY VECTOR FIELD 审中-公开
    通过在方向相似矢量场中识别转子来精确地识别ATRIAL FIBRILLATION中的CRITCAL区域

    公开(公告)号：US20150230721A1

    公开(公告)日：2015-08-20

    申请号：US14699171

    申请日：2015-04-29

    申请人： Yenn-jiang Lin ,  Men-Tzung Lo

    发明人： Men-Tzung Lo ,  Yenn-Jiang Lin ,  Huan-Yu Kuo ,  Yi-Chung Chang ,  Chen Lin ,  Hsiang-Chih Chang ,  Fa-Po Chung ,  Shih-Ann Chen

    IPC分类号： A61B5/04 ,  A61B5/046

    CPC分类号： A61B5/04011 ,  A61B5/04012 ,  A61B5/04085 ,  A61B5/046 ,  A61B5/4836 ,  A61B5/7246 ,  A61B18/1492 ,  A61B2018/00351 ,  A61B2018/00577 ,  A61B2018/00839

    摘要： A computer-assisted method for quantitatively characterizing atrial fibrillation in a patient includes recording time series of bipolar atrial fibrillation signals at multiple sites in a patient's atria using two or more electrodes, calculating a similarity index vector by a computer system based on the bipolar atrial fibrillation signal between a first site and its neighboring sites, constructing an similarity-index vector field based on similarity-index vectors at different sites, calculating Curl and Divergence of the similarity-index vector field, calculating Rotor Identification using Curl and Divergence, calculating Focal Identification using Divergence, and determining one or more critical regions in the patient's atria if Rotor Identification is above a first predetermined threshold and Focal Identification is above a second predetermined threshold.

    摘要翻译： 用于定量表征患者心房颤动的计算机辅助方法包括使用两个或多个电极记录患者心房多个部位的双相心房颤动信号的时间序列，基于双相心房颤动计算计算机系统的相似性指数矢量 信号在第一站点及其相邻站点之间，基于相似度指数向量在不同位置构建相似性指数向量域，计算相似度指数向量域的卷曲和发散，使用Curl和Divergence计算转子识别，计算焦点识别 使用发散，并且如果转子识别高于第一预定阈值并且焦点识别高于第二预定阈值，则确定患者心房中的一个或多个关键区域。

    System and method for quantitative analysis of respiratory sinus arrhythmia
    6.
    发明授权
    System and method for quantitative analysis of respiratory sinus arrhythmia 有权
    呼吸窦性心律失常定量分析系统及方法

    公开(公告)号：US09380948B1

    公开(公告)日：2016-07-05

    申请号：US13950702

    申请日：2013-07-25

    申请人： Men-Tzung Lo ,  Yung-Hung Wang

    发明人： Men-Tzung Lo ,  Chen Lin ,  Cheng-Yen Wang ,  Yung-Hung Wang ,  Yi-Chung Chang ,  Han-Hwa Hu ,  Kun Hu

    IPC分类号： A61B5/00 ,  A61B5/0205

    CPC分类号： A61B5/0205 ,  A61B5/024 ,  A61B5/0816 ,  A61B5/486 ,  A61B5/7253 ,  A61B5/7278

    摘要： A computer-assisted method for quantitative analysis of respiratory sinus arrhythmia (RSA) includes obtaining a time series of a cardiac interval signal from an individual, obtaining a time series of a respiratory signal from the individual; decomposing the cardiac interval signal into a first group of ensemble empirical modes; obtaining, by a computer system, a time series of RSA instantaneous amplitude from at least one of the first group of ensemble empirical modes; decomposing the respiratory signal into a second group of ensemble empirical modes; obtaining a time series of respiratory instantaneous phase from the one of the second group of ensemble empirical modes; determining respiratory period from the time series of the respiratory instantaneous phase; and quantifying RSA in the individual according to a dependence of the RSA instantaneous amplitude on the respiratory period.

    摘要翻译： 用于定量分析呼吸窦性心律失常（RSA）的计算机辅助方法包括获得来自个体的心脏间隔信号的时间序列，获得来自个体的呼吸信号的时间序列; 将心脏间隔信号分解为第一组综合经验模式; 通过计算机系统从第一组整体经验模式中的至少一个获得RSA瞬时振幅的时间序列; 将呼吸信号分解成第二组综合经验模式; 从第二组综合经验模式中的一个获得呼吸瞬时相位的时间序列; 从呼吸瞬时相的时间序列确定呼吸周期; 并根据RSA瞬时振幅对呼吸周期的依赖性量化个体中的RSA。

    Accurately indetifying critcal regions in atrial fibrillation by identifying rotors in directional similarity vector field
    7.
    发明授权
    Accurately indetifying critcal regions in atrial fibrillation by identifying rotors in directional similarity vector field 有权
    通过在方向相似矢量场中识别转子来准确地标记心房颤动中的临界区域

    公开(公告)号：US09545210B2

    公开(公告)日：2017-01-17

    申请号：US14699171

    申请日：2015-04-29

    申请人： Yenn-jiang Lin ,  Men-Tzung Lo

    发明人： Men-Tzung Lo ,  Yenn-Jiang Lin ,  Huan-Yu Kuo ,  Yi-Chung Chang ,  Chen Lin ,  Hsiang-Chih Chang ,  Fa-Po Chung ,  Shih-Ann Chen

    IPC分类号： A61B5/046 ,  A61B5/04 ,  A61B5/00 ,  A61B5/0408 ,  A61B18/14 ,  A61B18/00

    CPC分类号： A61B5/04011 ,  A61B5/04012 ,  A61B5/04085 ,  A61B5/046 ,  A61B5/4836 ,  A61B5/7246 ,  A61B18/1492 ,  A61B2018/00351 ,  A61B2018/00577 ,  A61B2018/00839

    摘要： A computer-assisted method for quantitatively characterizing atrial fibrillation in a patient includes recording time series of bipolar atrial fibrillation signals at multiple sites in a patient's atria using two or more electrodes, calculating a similarity index vector by a computer system based on the bipolar atrial fibrillation signal between a first site and its neighboring sites, constructing an similarity-index vector field based on similarity-index vectors at different sites, calculating Curl and Divergence of the similarity-index vector field, calculating Rotor Identification using Curl and Divergence, calculating Focal Identification using Divergence, and determining one or more critical regions in the patient's atria if Rotor Identification is above a first predetermined threshold and Focal Identification is above a second predetermined threshold.

    摘要翻译： 用于定量表征患者心房颤动的计算机辅助方法包括使用两个或多个电极记录患者心房多个部位的双相心房颤动信号的时间序列，基于双相心房颤动计算计算机系统的相似性指数矢量 信号在第一站点及其相邻站点之间，基于相似度指数向量在不同位置构建相似性指数向量域，计算相似度指数向量域的卷曲和发散，使用Curl和Divergence计算转子识别，计算焦点识别 使用发散，并且如果转子识别高于第一预定阈值并且焦点识别高于第二预定阈值，则确定患者心房中的一个或多个关键区域。

    METHOD AND APPARATUS FOR REAL TIME OIL BASED MUD CONTAMINATION MONITORING
    9.
    发明申请
    METHOD AND APPARATUS FOR REAL TIME OIL BASED MUD CONTAMINATION MONITORING 有权
    用于实时油基污泥监测的方法和装置

    公开(公告)号：US20100169020A1

    公开(公告)日：2010-07-01

    申请号：US12344683

    申请日：2008-12-29

    申请人： YuQiang Niu ,  Robert North ,  Chen Lin

    发明人： YuQiang Niu ,  Robert North ,  Chen Lin

    IPC分类号： E21B49/00

    CPC分类号： G01V11/00 ,  E21B49/008 ,  E21B49/10

    摘要： The present invention is a method and apparatus for determining oil based mud contamination of a hydrocarbon fluid obtained from a wellbore during a formation testing. The invention includes receiving a model for simulating the contamination and receiving an empirical equation for computing the contamination. At a given pumping time, a simulated contamination is generated based on the model and an empirically computed contamination is generated based on the first empirical equation. The simulated contamination and empirically computed contamination are compared and a determination as to which is more reliable is made. Revision of the first model or first empirical equation based is then performed.

    摘要翻译： 本发明是一种在地层测试期间确定从井眼获得的烃类流体的油基泥浆污染的方法和装置。 本发明包括接收模拟污染物并接收用于计算污染物的经验方程式的模型。 在给定的泵送时间，基于模型产生模拟污染，并且基于经验计算的污染基于第一经验方程式生成。 对模拟污染和经验计算的污染物进行比较，并确定哪种更可靠。 然后执行第一模型或第一经验方程的修正。